The paper shows a practical application of the use of Extended Kalman Filter (EKF) in determining the hydrodynamic derivatives of an Autonomous Underwater Vehicle for a (AUV). The work is worth the experimental results of the underwater vehicle "Pirajuba" developed by LVNT (Not Manned Vehicle Laboratory) of Polytechnic School from University of São Paulo (USP). Discuss in practical terms the convergence criteria of the Kalman filter, and process validation of the mathematical model to calculate the hydrodynamic derivatives.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Identification of Hydrodynamic Derivatives from AUV "Pirajuba" Using Extended Kalman Filter




    Publication date :

    2013-03-01


    Size :

    587211 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Active Battery Parameter Identification Using Conditional Extended Kalman Filter

    YU HAI / LI YONGHUA | European Patent Office | 2015

    Free access

    Active battery parameter identification using conditional extended kalman filter

    YU HAI / LI YONGHUA | European Patent Office | 2017

    Free access


    Parametric identification of vehicle handling using an extended Kalman filter

    Best,M.C. / Loughborough Univ.of Technology,GB | Automotive engineering | 2007